Instructions to use stablediffusionapi/icbinp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/icbinp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/icbinp", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 77bbbe96a1aeb22f45cc3db80ba91b7820befcd76fe33d0c37ba828858d9af67
- Size of remote file:
- 246 MB
- SHA256:
- a40119030b968324b8de961b7b231ac49bff18da056320c7c04aca022172ab66
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